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Firms increasingly rely on both external and internal crowdsourcing to capture ideas more broadly and enhance innovative problem-solving. Especially in internal crowdsourcing, knowledge sharing that contributes to develop or further the understanding of the problem the idea is focused on solving can take place between critical employees, and in that way improve ideas generated by others. This far, most crowdsourcing practices have focused on identifying solutions to proposed problems, whereas much less is known about how crowds can be used to share problem-related knowledge. There is thus an untapped potential in leveraging crowds not just to generate solution-oriented ideas but also to share knowledge to improve ideas and even to reframe problems. This paper aims to explore the effect of problem- and solution-related knowledge sharing in internal crowdsourcing for idea development.

Data on ideas and comments were collected from an idea management system in a Swedish multinational company. The investigation captures the influences of the problem- and solution-related knowledge sharing on ideas based on content analysis and logistic regression analysis.

The results from this study show that sharing knowledge related to solutions in idea development impacts idea acceptance positively, whereas sharing knowledge related to problems in idea development has a negative effect on the likelihood of idea acceptance and these effects of knowledge sharing are moderated by the active author responses.

This research provides managerial implications for firms to deliberately manage knowledge sharing in peer communities in internal crowdsourcing, especially by providing suggestions on problem reframing and solution refining for ideas.

The results contribute to existing theory in terms of extending the view of crowdsourcing in ideation to include how crowds contribute to the development of the problem and the solution during the development of ideas and providing new insights on knowledge sharing in internal crowdsourcing based on problem-solving theory.

Crowdsourcing – a form of collaboration across organizational boundaries – provides access to knowledge beyond an organization’s local knowledge base. Integrating work on organization theory and innovation, the authors first develop a framework that characterizes crowdsourcing into a main sequential process, through which organizations (1) define the task they wish to have completed; (2) broadcast to a pool of potential contributors; (3) attract a crowd of contributors; and (4) select among the inputs they receive. For each of these phases, the authors identify the key decisions organizations make, provide a basic explanation for each decision, discuss the trade-offs organizations face when choosing among decision alternatives, and explore how organizations may resolve these trade-offs. Using this decision-centric approach, the authors continue by showing that there are fundamental interdependencies in the process that makes the coordination of crowdsourcing challenging.

Individuals with learning disabilities (LD) who offend are more likely to be dependent on alcohol than those who do not. There is strong evidence to suggest that interventions for alcohol problems can be effective; this paper aims to address this issue.

The pre and post assessment scores from an alcohol awareness group (AAG) were collected from 34 service users with LD or a dual diagnosis of LD and mental health problems. The programme was manual led and included 12 sessions. The data collected were used to evaluate the programme.

Clients' level of knowledge and self efficacy increased after programme completion. Post group, those with a lower IQ had gained a greater level of alcohol‐related knowledge compared to those with a higher IQ. Clients with a learning disability alone scored slightly higher than those with a dual diagnosis.

The AAG has been successful in increasing motivation to change drinking behaviour, knowledge of problems related to alcohol, and “safe drinking” practice. These outcomes have been achieved across a wide range of cognitive abilities suggesting that those with an IQ below 60 can also benefit from this type of intervention.

Purpose – To resent approaches and some research results of various research areas contributing to knowledge discovery from different sources, different data forms, on different scale, and for different purpose. Design/methodology/approach – Contribute to knowledge management by applying knowledge discovery approaches to enable computer search for the relevant knowledge whereas the humans give just broad directions. Findings – Knowledge discovery techniques proved to be very appropriate for many problems related to knowledge management. Surprisingly, it is often the case that already relatively simple approaches provide valuable results. Research limitations/implications – Still there are many open problems and scalability issues that arise when dealing with real‐world data and especially in the areas involving text and network analysis. Practical implications – Each problem should be handled with care, taking into account different aspects and selecting/extending the most appropriate available methods or developing some new approaches. Originality/value – This paper provides an interesting collection of selected knowledge discovery methods applied in different context but all contributing in some way to knowledge management. Several of the reported approaches were developed in collaboration with the authors of the paper with especial emphases on their usability for practical problems involving knowledge management.

Knowledge is companies’ crucial asset, especially when they are inserted in continuous collaboration and value co-creation. However, problems related to knowledge may occur without proper management, which can compromise the strategic objectives associated with a business collaboration network. Given the presented gap, this study aims to propose and test a business-to-business (B2B) knowledge management (KM) framework focused on value co-creation. Therefore, this study seeks to answer the following guiding questions: what are the main elements that a KM model should present in a context of value co-creation between companies? What are the limitations? What are the advantages and disadvantages? Is there any group that would benefit most from it?

This is an exploratory study grounded on mixed methods, having a qualitative approach (systematic literature review and content analysis) followed by a quantitative approach (exploratory and confirmatory factor analysis), which grounded the proposed framework.

The qualitative approach grounded on the systematic literature review resulting in 38 articles that were submitted to content analysis, which resulted in six record units: active communication between the organization, employees and other stakeholders; documents and organizational knowledge stored; knowledge map; collaborative network; searching tools and database, which provided the KM elements to develop and test the proposed framework by the quantitative approach. The results have shown that the framework may assist in managing knowledge in B2B value co-creation relationships.

As an exploratory study, the chosen research approach used nonprobabilistic for convenience sampling. Therefore, the results may lack generalizability. Thus, researchers are encouraged to use probabilistic sampling techniques to ensure generability. Also, more and better items should be used to upgrade the initial questionnaire, improving it and, by doing so, have a better scale.

Assuming the proposed framework’s effectiveness, company managers can use it to drive knowledge within the network of interested parties to promote cooperative products and services. In addition, due to the theoretical framework’s broad vision, it can serve as a strategic aid to leverage innovation, productivity and competitive advantage. This study also provides an initial instrument that assists in understanding KM elements, which may assist in value co-creation.

It was learned that the elements, tools, concepts and KM preconized solutions can assist in value co-creation. Considering that value assists business performance, and value co-creation is one way to enhance it, furthermore, by knowledge sharing, the value co-creation may occur in the B2B ecosystem. Also, it is the first theoretical KM framework proposed to assist companies to understand better ways that could get advantages on structuring knowledge, meaning mapping it, sharing it through a system that can retain what is needed and release it to the ones that need and have the defined access to receive it.

The aim of this paper is to develop, test and improve a method that draws upon business process improvement literature and combines it with knowledge management approaches for modeling and analyzing knowledge‐intensive business processes.

Analyzing and integrating previous meta models served in knowledge oriented business process researches, a preliminary meta model was developed for modeling knowledge‐intensive business processes. Then an initial version of Proper Arrangement of Knowledge Management Processes (PAKMP) framework was developed according to the knowledge management processes approaches. Third round of interviews with process 137 members were conducted in order to test applicability and completeness of both preliminary meta model and initial version of PAKMP framework in order to improve them. In addition, a five‐steps analysis method achieved through case study which is based on the application of both final Meta model and PAKMP framework. In fact this five‐steps method was applied in Tehran's Municipality which redounded to improve preliminary meta model and initial version of PAKMP framework and endorsed the applicability of the proposed method in real world.

This paper has a contribution in enriching the literature related to integrating KM efforts and BPM efforts by presenting a five‐steps analysis method and testing it in a real case. This method considers both KM and business process management points of view.

The general applicability of the method due to the weak generalization of the single case study is a limitation.

This paper combines the advantages of the business process improvement and knowledge management approaches and suggests a practical method for modeling and analyzing the knowledge management status in knowledge‐intensive business processes. After analysis, managers should put emphasis on improving the arrangement of KM processes for critical knowledge objects which led to improve the performance of knowledge‐intensive business process trough removing KM problems. The paper concludes by suggesting some topics for future research.

Knowledge management systems and related initiatives have become a popular focus in many firms, yet many knowledge management systems initiatives fail to achieve their goals. Focuses on systems that are implemented to achieve deliberate performance improvement objectives in organizations, rather than to support discretionary communication. Employs constructs from system dynamics – a discipline that recognizes that the relationships between complex organizing technologies and human behavior are dynamic, evolving, and interconnected. Drawing from recent studies employing system dynamics, proposes a framework to analyze the implementation challenges posed by knowledge management systems adopted as part of a deliberate performance improvement program. Illustrates the framework with a case study of an initiative within a university “help desk” department where conflicting incentives hindered employees’ efforts to leverage the systems. The framework underscores the complex and interdependent effects triggered by managers’ actions and cognitions, in conjunction with users’ actions and cognitions. Offers insights for practitioners and researchers to recognize the downward spiral that can occur when conflicting incentives thwart the behavioral changes required for performance improvement initiatives to succeed.

Organizations have already realized the significance of capturing, sharing and applying the collective experience and know‐how of their members. The aim is to increase operational efficiency, productivity, quality of services and get innovative products and solutions to their customers. However, it is well known that technological approaches for managing organizational knowledge need further development for their effective deployment in real settings. The aim of this paper is to provide an overview of previous work done in information technology solutions to support knowledge management, to specify important features that an advanced knowledge management system must have in order to be successfully deployed in an organization, and identify emerging technological issues that must be researched and be developed in order the technological expectations of the knowledge management community to be fulfilled.

Without effective implementation, no information technology (IT) strategy can succeed. There has been much re-search into IT planning, but few studies have developed one of the most important phases of IT strategy: IT Implementation. IT implementation can be improved at information and communication technology (ICT) organizations through the use of organization learning models (OLM) and the implementation of ICT tools. This paper has two purposes define an OLM framework that determines the best practices to increase knowledge at individual, group and/organizational levels, and define and implement an ICT tool to facilitate the integration and institutionalization of the OLM. The ICT tool is based on the technology roadmapping technique that allows an organization to manage at an executive level what, when and how the IT strategy is going to be implemented.

This paper is based on a case study performed at an ICT organization that provides ICT services to financial institutions. The study was carried out in 2014. It analyzed over 24,000 projects, which translated into an equivalent of more than 18 million man-hours. The proposal was assessed at a very large ICT organization.

This paper proposes a framework called SPIDER to effectively implement OLMs based on Big Data management principles for monitoring and reporting current status of IT innovation strategies. These kinds of approaches contribute to solve the problems identified in the state-of-the-art regarding the communication and monitoring the implementation status of IT innovation strategies. During this research work, several factors that are essential to implement these kinds of approaches in large banking organizations were identified: effort required to elaborate the monitoring and reporting activities; easiness to understand the reported information; detailed planning of the implementation program; and focus on communication efficiency.

This paper determined the best practices to manage knowledge generated during the implementation of an IT strategy. Additionally, this paper defined and implemented an ICT tool to properly communicate and monitor the implementation of an IT innovation strategy, based on technological roadmap techniques.

This paper aims to propose a framework for the evaluation of artefacts in Design Science and test it using an exemplar case of a knowledge management system (KMS) developed for an Australian refrigeration manufacturing company.

The research uses Design Science research methodology in a specific case study context. The artefact studied was developed using an ontology based on an engineering design conceptualisation and created using an ontology generator, Protégé. Research data for the evaluation of the framework were collected using a combination of document analysis, interviews, shadowing and observations.

The evaluation framework developed for the research and applied to the KMS specifically built for the company was shown to be useful in determining the efficacy and effectiveness of the research outcomes in terms of usefulness to the company engineers in the technical analysis of their work, and for the CEO and COO as part of their strategic planning for the company. The evaluation framework helped the researcher and the engineers as collaborators to demonstrate the extent of improvement in the design and build processes in the company.

Prior research in both Information System and Design Science has not provided a specific, generalizable, evaluation framework for system developers to use as a guide during the systems development process. This research proposes an evaluation framework which covers all broad aspects of evaluation and efficacy, accepting that evaluation frameworks must be flexible in enabling changes to accommodate variations in the types and purposes of artefacts developed.